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Yan Wang a8b4c99ed6 Improve the performance of fast_nlmeans_denoising_opencl.

1. Remove unnecessary barriers.
2. Adjust CTA_SIZE based on the following cases for Intel platform:
   a) OCL_Photo_DenoisingGrayscale.DenoisingGrayscale
   b) OCL_Photo_DenoisingColored.DenoisingColored

2014-11-12 22:34:33 +08:00

3rdparty

update IPPICV package

2014-11-05 13:26:23 +03:00

apps

Several type of formal refactoring:

2014-08-13 15:21:35 +04:00

cmake

Fix Cuda -Wl linker options

2014-11-11 12:12:28 -05:00

data

moved part of video to contrib/{outflow, bgsegm}; moved matlab to contrib

2014-08-10 23:24:16 +04:00

doc

Merge pull request #3217 from avdmitry:samples_cpp_data

2014-11-05 14:57:46 +00:00

include

Split highgui module to videoio and highgui

2014-07-14 23:16:47 +04:00

modules

Improve the performance of fast_nlmeans_denoising_opencl.

2014-11-12 22:34:33 +08:00

platforms

Fixing iOS clang warnings, part 3

2014-10-17 18:15:21 +04:00

samples

openni_capture sample: enable OpenNI2 if available

2014-11-08 02:22:29 +03:00

.gitattributes

Made changes to OpenCVFindMatlab suggested by SpecLad

2013-09-14 13:32:15 +10:00

.gitignore

Merge remote-tracking branch 'origin/2.4' into merge-2.4

2014-01-14 11:53:59 +04:00

.tgitconfig

Add tgit.icon project config

2014-02-26 17:46:52 +08:00

CMakeLists.txt

Basic doxygen documentation support

2014-10-22 15:24:15 +04:00

index.rst

GSoC Python Tutorials

2013-09-23 13:41:14 +05:30

LICENSE

Initial Linux packages build rools for CPack.

2014-01-21 20:34:36 +04:00

README.md

Replaced Gittip button

2014-02-15 13:10:09 +04:00

README.md

OpenCV: Open Source Computer Vision Library

Resources

Contributing

Please read before starting work on a pull request: http://code.opencv.org/projects/opencv/wiki/How_to_contribute

Summary of guidelines:

One pull request per issue;
Choose the right base branch;
Include tests and documentation;
Clean up "oops" commits before submitting;
Follow the coding style guide.

Languages

C++ 83.4%

Cuda 5.9%

C 3.8%

Java 2.4%

CMake 2.2%

Other 2.1%